49 citations · 63 across the 4 of their papers we have counts for
4 papers
Bounded and Unbiased Composite Differential Privacy
Kai Zhang, Yanjun Zhang, Ruoxi Sun +5
The objective of differential privacy (DP) is to protect privacy by producing an output distribution that is indistinguishable between any two neighboring databases. However, tradi…
VeriDIP: Verifying Ownership of Deep Neural Networks through Privacy Leakage Fingerprints
Aoting Hu, Zhigang Lu, Renjie Xie +1
Deploying Machine Learning as a Service gives rise to model plagiarism, leading to copyright infringement. Ownership testing techniques are designed to identify model fingerprints…
Not Seen, Not Heard in the Digital World! Measuring Privacy Practices in Children's Apps
Ruoxi Sun, Minhui Xue, Gareth Tyson +3
The digital age has brought a world of opportunity to children. Connectivity can be a game-changer for some of the world's most marginalized children. However, while legislatures a…
Copyright Protection and Accountability of Generative AI:Attack, Watermarking and Attribution
Haonan Zhong, Jiamin Chang, Ziyue Yang +4
Generative AI (e.g., Generative Adversarial Networks - GANs) has become increasingly popular in recent years. However, Generative AI introduces significant concerns regarding the p…